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卫星云图的多通道FCM分割算法

王伟 刘娟 孟志斌 郭钧天

计算机工程与科学2012,Vol.34Issue(10):83-87,5.
计算机工程与科学2012,Vol.34Issue(10):83-87,5.DOI:10.3969/j.issn.1007-130X.2012.10.017

卫星云图的多通道FCM分割算法

Multichannel FCM Segmentation Algorithm of Satellite Cloud Image

王伟 1刘娟 1孟志斌 1郭钧天2

作者信息

  • 1. 武汉大学计算机学院,湖北武汉430072
  • 2. 国网电力科学研究院武汉南瑞有限责任公司,湖北武汉430074
  • 折叠

摘要

Abstract

The satellite cloud images are important materials in the remote sensing measurement of the earth's atmosphere. Cloud identification, tracking and prediction need segmentation and edge extracted operator on satellite cloud images. In this paper, we improve the fuzzy C-means (FCM) algorithm for cloud image segmentation. The experimental result demonstrates that the improved algorithm features efficiency and accuracy. In the experiment, we employ the RGB multi-channel satellite cloud images in June 2011, cluster the cloud image on the layering of image, and extract multi-channel clustering intersection areas, etc. The result achieves the fast and accurate segmentation to satellite cloud images.

关键词

卫星云图/多通道/FCM/分割

Key words

satellite cloud images/ multichannel/FCM segmentation

分类

信息技术与安全科学

引用本文复制引用

王伟,刘娟,孟志斌,郭钧天..卫星云图的多通道FCM分割算法[J].计算机工程与科学,2012,34(10):83-87,5.

计算机工程与科学

OA北大核心CSCDCSTPCD

1007-130X

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